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In recent past, the use of Unmanned Aerial Vehicles (UAVs) has been progressively regnant and significant in several applications related to civil as well as military purposes. Due to their numerous benefits, the control and dynamic modeling of UAVs are becoming the attractive field of research. Considering all these facts, this paper has present the conventional inner-outer loop strategy with some...
This paper presents performance of a coaxially-fed L-shaped multiband microstrip patch antenna for DCS, Wi-Fi Security (IEEE 802.11-2012) and WLAN applications. The proposed antenna has been designed by etching L-shaped structure on a rectangular patch. In order to achieve the desired bandwidth, the proposed antenna is designed using thick substrate FR4. Ansoft HFSS simulation showed that the proposed...
The massive or large scaled multiple input multiple output (MIMO) systems have gained huge consideration due to high achievable data rates and connection reliability for future wireless networks. Multiple signal paths due to multiple antennas positioned at transmitter or receiver are responsible for large throughput. The eventual objective of using array of small antennas is that each single antenna...
In this paper, a tri-band H-shaped microstrip patch antenna is presented for DCS and WLAN (IEEE 802.11a/b/g) applications. The proposed antenna has symmetrical properties and has been designed by etching H-shape structure on FR-4 substrate with coaxially fed input. It radiates for DCS (1.79–1.81 GHz) and WLAN (2.43–2.47 GHz, 5.11–5.27 GHz) frequency bands. It is demonstrated that the fabricated antenna...
This paper presents a practice oriented approach for an optimization of user scheduling, base stations assignment and beamforming with multipoint transmission in a multiuser multicell scenario using statistical channel knowledge. Especially the cell edge users gain if they are served by multiple base stations (BSs). The max-min beamforming optimization balances the signal to interference and noise...
Background: The majority of software faults are present in small number of modules, therefore accurate prediction of fault-prone modules helps improve software quality by focusing testing efforts on a subset of modules. Aims: This paper evaluates the use of the faults-slip-through (FST) metric as a potential predictor of fault-prone modules. Rather than predicting the fault-prone modules for the complete...
The software testing phase usually results in a large number of bugs to be fixed. The fixing of these bugs require executing certain activities (potentially concurrent) that demand resources having different competencies and workloads. Appropriate resource allocation to these bug-fixing activities can help a project manager to schedule capable resources to these activities, taking into account their...
Symbolic regression, an application domain of genetic programming (GP), aims to find a function whose output has some desired property, like matching target values of a particular data set. While typical regression involves finding the coefficients of a pre-defined function, symbolic regression finds a general function, with coefficients, fitting the given set of data points. The concepts of symbolic...
Software reliability growth modeling helps in deciding project release time and managing project resources. A large number of such models have been presented in the past. Due to the existence of many models, the models' inherent complexity, and their accompanying assumptions; the selection of suitable models becomes a challenging task. This paper presents empirical results of using genetic programming...
There have been a number of software reliability growth models (SRGMs) proposed in literature. Due to several reasons, such as violation of models' assumptions and complexity of models, the practitioners face difficulties in knowing which models to apply in practice. This paper presents a comparative evaluation of traditional models and use of genetic programming (GP) for modeling software reliability...
Genetic programming (GP) has been found to be effective in finding a model that fits the given data points without making any assumptions about the model structure. This makes GP a reasonable choice for software reliability growth modeling. This paper discusses the suitability of using GP for software reliability growth modeling and highlights the mechanisms that enable GP to progressively search...
An organizational level test strategy needs to incorporate metrics to make the testing activities visible and available to process improvements. The majority of testing measurements that are done are based on faults found in the test execution phase. In contrast, this paper investigates metrics to support software test planning and test design processes. We have assembled metrics in these two process...
Search-based software testing (SBST) has shown a potential to decrease cost and increase quality of testing- related software development activities. Research in SBST has so far mainly focused on the search for isolated tests that are optimal according to a fitness function that guides the search. In this paper we make the case for fitness functions that measure test fitness in relation to existing...
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